class_docstr: The type of the wrapped model returned from [`DdpAccelerator.wrap_model`](#wrap_model).
code: def consolidate_sharded_state(
      sharded_state_files: Sequence[Union[str, os.PathLike]]
  ) -> StateDictType:
      raise NotImplementedError
  
imports: import os
  from typing import Union, Tuple, OrderedDict, Dict, NamedTuple, List, Optional, Any, Sequence, TYPE_CHECKING
  import torch
  import torch.distributed
  from torch.cuda import amp
  from torch.nn.utils import clip_grad_norm_
  from allennlp.common import Registrable
  from allennlp.common.util import int_to_device
  from allennlp.nn.parallel.sharded_module_mixin import ShardedModuleMixin
label_desc: Use image node_id 3 for calling the DdpWrappedModel obj's underlying member method code with example usage: obj.consolidate_sharded_state(sharded_state_files) without return types